default search action
Google
Google Scholar
Semantic Scholar
Internet Archive Scholar
CiteSeerX
ORCIDRyutaro Ichise
Person information
Refine list
refinements active!
zoomed in on ?? of ?? records
view refined list in
export refined list as
showing all ?? records
2020 – today
- 2024
[c123]Rungsiman Nararatwong, Chung-Chi Chen, Natthawut Kertkeidkachorn, Hiroya Takamura, Ryutaro Ichise:
DBQR-QA: A Question Answering Dataset on a Hybrid of Database Querying and Reasoning. ACL (Findings) 2024: 15169-15182- [c122]Ziwei Xu
, Ryutaro Ichise:
Exploring Causal Chain Identification: Comprehensive Insights from Text and Knowledge Graphs. DaWaK 2024: 129-146 - [c121]Othmane Kabal, Mounira Harzallah, Fabrice Guillet, Ryutaro Ichise:
Enhancing Domain-Independent Knowledge Graph Construction through OpenIE Cleaning and LLMs Validation. KES 2024: 2617-2626 - [c120]Rungsiman Nararatwong, Yuting Shi, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Semantic Multi-concept Annotation for Tabular Data in Financial Documents. NLDB (1) 2024: 514-529 - [c119]Taosheng Qiu, Ryutaro Ichise:
Computable Relations Mapping with Horn Clauses for Inductive Program Synthesis. PKAW 2024: 15-28 - [c118]Ziwei Xu, Hiroya Takamura, Ryutaro Ichise:
A Framework to Construct Financial Causality Knowledge Graph from Text. ICSC 2024: 57-64 - [c117]Rungsiman Nararatwong, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Evaluating Tabular and Textual Entity Linking in Financial Documents. ICSC 2024: 130-133 - [i10]Tiroshan Madushanka, Ryutaro Ichise:
Negative Sampling in Knowledge Graph Representation Learning: A Review. CoRR abs/2402.19195 (2024) - 2023
- [j40]Yuxun Lu, Kosuke Nakamura, Ryutaro Ichise:
HyperRS: Hypernetwork-Based Recommender System for the User Cold-Start Problem. IEEE Access 11: 5453-5463 (2023) - [j39]Rumana Ferdous Munne, Ryutaro Ichise:
Entity alignment via summary and attribute embeddings. Log. J. IGPL 31(2): 314-324 (2023) - [j38]Tiroshan Madushanka, Ryutaro Ichise:
TuckerDNCaching: high-quality negative sampling with tucker decomposition. J. Intell. Inf. Syst. 61(3): 739-763 (2023) - [j37]Yutaka Matsuo, Ryutaro Ichise, Yoji Kiyota:
New Generation Computing Becomes the Official Journal of the Japanese Society for Artificial Intelligence. New Gener. Comput. 41(1): 1-2 (2023) - [c116]Natthawut Kertkeidkachorn, Rungsiman Nararatwong, Ziwei Xu, Ryutaro Ichise:
FinKG: A Core Financial Knowledge Graph for Financial Analysis. ICSC 2023: 90-93 - [c115]Rumana Ferdous Munne, Ryutaro Ichise:
Attribute Enhancement using Aligned Entities between Knowledge Graphs. ICSC 2023: 191-198 - 2022
- [j36]Nicolas Bougie, Ryutaro Ichise:
Hierarchical learning from human preferences and curiosity. Appl. Intell. 52(7): 7459-7479 (2022) - [j35]Esrat Farjana Rupu, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Competent Triple Identification for Knowledge Graph Completion under the Open-World Assumption. IEICE Trans. Inf. Syst. 105-D(3): 646-655 (2022) - [j34]Yuxun Lu, Ryutaro Ichise:
ProtoE: Enhancing Knowledge Graph Completion Models with Unsupervised Type Representation Learning. Inf. 13(8): 354 (2022) - [c114]Rungsiman Nararatwong, Natthawut Kertkeidkachorn, Ryutaro Ichise:
KIQA: Knowledge-Infused Question Answering Model for Financial Table-Text Data. DeeLIO@ACL 2022: 53-61 - [c113]Nicolas Bougie, Ryutaro Ichise:
Goal-Driven Active Learning. AAMAS 2022: 1923-1925 - [c112]Tiroshan Madushanka, Ryutaro Ichise:
MDNCaching: A Strategy to Generate Quality Negatives for Knowledge Graph Embedding. IEA/AIE 2022: 877-888 - [c111]Rungsiman Nararatwong, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Enhancing Financial Table and Text Question Answering with Tabular Graph and Numerical Reasoning. AACL/IJCNLP (1) 2022: 991-1000 - 2021
- [j33]Nicolas Bougie, Ryutaro Ichise:
Goal-driven active learning. Auton. Agents Multi Agent Syst. 35(2): 44 (2021) - [j32]Nicolas Bougie, Ryutaro Ichise:
Fast and slow curiosity for high-level exploration in reinforcement learning. Appl. Intell. 51(2): 1086-1107 (2021) - [j31]Juha Hovi, Ryutaro Ichise:
Explanatory Rule Generation for Advanced Driver Assistant Systems. IEICE Trans. Inf. Syst. 104-D(9): 1427-1439 (2021) - [j30]Thomas Eiter, Ryutaro Ichise, Josiane Xavier Parreira, Patrik Schneider, Lihua Zhao:
Deploying spatial-stream query answering in C-ITS scenarios. Semantic Web 12(1): 41-77 (2021) - [c110]Yuxun Lu, Ryutaro Ichise:
Unsupervised Type Constraint Inference in Bilinear Knowledge Graph Completion Models. ICBK 2021: 15-22 - [c109]An Dao, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Comparison of Deep-Neural-Network-Based Models for Estimating Distributed Representations of Compound Words. KES 2021: 1294-1303 - [c108]Phuc Nguyen, Ikuya Yamada, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
Demonstration of MTab: Tabular Data Annotation with Knowledge Graphs. ISWC (Posters/Demos/Industry) 2021 - [c107]Phuc Nguyen, Ikuya Yamada, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
SemTab 2021: Tabular Data Annotation with MTab Tool. SemTab@ISWC 2021: 92-101 - 2020
- [j29]Nicolas Bougie, Ryutaro Ichise:
Towards Interpretable Reinforcement Learning with State Abstraction Driven by External Knowledge. IEICE Trans. Inf. Syst. 103-D(10): 2143-2153 (2020) - [j28]Nicolas Bougie, Ryutaro Ichise:
Skill-based curiosity for intrinsically motivated reinforcement learning. Mach. Learn. 109(3): 493-512 (2020) - [j27]Takuma Ebisu, Ryutaro Ichise:
Generalized Translation-Based Embedding of Knowledge Graph. IEEE Trans. Knowl. Data Eng. 32(5): 941-951 (2020) - [c106]Rungsiman Nararatwong, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Knowledge Graph Visualization: Challenges, Framework, and Implementation. AIKE 2020: 174-178 - [c105]Natthawut Kertkeidkachorn, Rungsiman Nararatwong, Ryutaro Ichise:
UWKGM: A Modular Platform for Knowledge Graph Management. CIKM 2020: 3421-3424 - [c104]Rumana Ferdous Munne, Ryutaro Ichise:
Joint Entity Summary and Attribute Embeddings for Entity Alignment Between Knowledge Graphs. HAIS 2020: 107-119 - [c103]Nicolas Bougie, Ryutaro Ichise:
Exploration via Progress-Driven Intrinsic Rewards. ICANN (2) 2020: 269-281 - [c102]Nicolas Bougie, Ryutaro Ichise:
Towards High-Level Intrinsic Exploration in Reinforcement Learning. IJCAI 2020: 5186-5187 - [c101]Nicolas Bougie, Ryutaro Ichise:
Intrinsically Motivated Lifelong Exploration in Reinforcement Learning. JSAI 2020: 109-120 - [c100]Natthawut Kertkeidkachorn, Rungsiman Nararatwong, Phuc Nguyen, Ikuya Yamada, Hideaki Takeda, Ryutaro Ichise:
Hierarchical Contextualized Representation Models for Answer Type Prediction. SMART@ISWC 2020: 49-56 - [c99]Natthawut Kertkeidkachorn, Ryutaro Ichise:
PMap: Ensemble Pre-training Models for Product Matching. MWPD@ISWC 2020 - [c98]Phuc Nguyen, Ikuya Yamada, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
MTab4Wikidata at SemTab 2020: Tabular Data Annotation with Wikidata. SemTab@ISWC 2020: 86-95 - [i9]Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
TabEAno: Table to Knowledge Graph Entity Annotation. CoRR abs/2010.01829 (2020)
2010 – 2019
- 2019
- [j26]Ryutaro Ichise, Stephen H. Muggleton, Kouji Kozaki, Freddy Lécué, Dongyan Zhao, Takahiro Kawamura:
Special Issue on Semantic Technology. New Gener. Comput. 37(4): 359-360 (2019) - [j25]Phuc Nguyen, Khai Nguyen, Ryutaro Ichise, Hideaki Takeda:
EmbNum+: Effective, Efficient, and Robust Semantic Labeling for Numerical Values. New Gener. Comput. 37(4): 393-427 (2019) - [j24]Arisa Ema, Hirotaka Osawa, Reina Saijo, Akinori Kubo, Takushi Otani, Hiromitsu Hattori, Naonori Akiya, Nobutsugu Kanzaki, Minao Kukita, Kazunori Komatani, Ryutaro Ichise:
Clarifying Privacy, Property, and Power: Case Study on Value Conflict Between Communities. Proc. IEEE 107(3): 575-581 (2019) - [c97]Sylvie Koziel, Patrik Hilber, Ryutaro Ichise:
Application of big data analytics to support power networks and their transition towards smart grids. IEEE BigData 2019: 6104-6106 - [c96]Juha Hovi, Ryutaro Ichise:
Feasibility Study: Rule Generation for Ontology-Based Decision-Making Systems. JIST (2) 2019: 88-99 - [c95]Natthawut Kertkeidkachorn, Xin Liu, Ryutaro Ichise:
GTransE: Generalizing Translation-Based Model on Uncertain Knowledge Graph Embedding. JSAI 2019: 170-178 - [c94]Ziwei Xu, Mounira Harzallah, Fabrice Guillet, Ryutaro Ichise:
Modular Ontology Learning with Topic Modelling over Core Ontology. KES 2019: 562-571 - [c93]Takuma Ebisu, Ryutaro Ichise:
Graph Pattern Entity Ranking Model for Knowledge Graph Completion. NAACL-HLT (1) 2019: 988-997 - [c92]Natthawut Kertkeidkachorn, Lihua Zhao, Xin Liu, Ryutaro Ichise:
Knowledge Representation of G-Protein-Coupled Receptor Signal Transduction Pathways. ICSC 2019: 324-329 - [c91]Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
MTab: Matching Tabular Data to Knowledge Graph using Probability Models. SemTab@ISWC 2019: 7-14 - [c90]Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
MTab: Matching Tabular Data to Knowledge Graph with Probability Models. OM@ISWC 2019: 191-192 - [i8]Takuma Ebisu, Ryutaro Ichise:
Graph Pattern Entity Ranking Model for Knowledge Graph Completion. CoRR abs/1904.02856 (2019) - [i7]Takuma Ebisu, Ryutaro Ichise:
Combination of Unified Embedding Model and Observed Features for Knowledge Graph Completion. CoRR abs/1909.03821 (2019) - [i6]Phuc Nguyen, Natthawut Kertkeidkachorn, Ryutaro Ichise, Hideaki Takeda:
MTab: Matching Tabular Data to Knowledge Graph using Probability Models. CoRR abs/1910.00246 (2019) - 2018
- [j23]Tu Vu, Xuan Bui, Khoat Than, Ryutaro Ichise:
A Flexible Stochastic Method for Solving the MAP Problem in Topic Models. Computación y Sistemas 22(4) (2018) - [j22]Natthawut Kertkeidkachorn, Ryutaro Ichise:
An Automatic Knowledge Graph Creation Framework from Natural Language Text. IEICE Trans. Inf. Syst. 101-D(1): 90-98 (2018) - [j21]Md-Mizanur Rahoman, Ryutaro Ichise:
A proposal of a temporal semantics aware linked data information retrieval framework. J. Intell. Inf. Syst. 50(3): 573-595 (2018) - [c89]Takuma Ebisu, Ryutaro Ichise:
TorusE: Knowledge Graph Embedding on a Lie Group. AAAI 2018: 1819-1826 - [c88]Thi-Nhu Nguyen, Hideaki Takeda, Khai Nguyen, Ryutaro Ichise, Tuan-Dung Cao:
A Novel Method to Predict Type for DBpedia Entity. ACIIDS (Extended Posters) 2018: 125-134 - [c87]Khai Nguyen, Ryutaro Ichise:
Learning Effective Distributed Representation of Complex Biomedical Concepts. BIBE 2018: 338-343 - [c86]Khai Nguyen, Kaisei Reio, Ryutaro Ichise:
Clinical Ontology Mapping - Toward Automatic Care Plan Recommendation. HEALTHINF 2018: 722-726 - [c85]Ryutaro Ichise, Natthawut Kertkeidkachorn, Lihua Zhao, Esrat Farjana Rupu:
Unified Workbench for Knowledge Graph Management. EKAW (Posters & Demos) 2018: 45-48 - [c84]Maxime Clement, Ryutaro Ichise:
SWRL Reasoning Using Decision Tables. EKAW 2018: 68-82 - [c83]Thomas Eiter, Ryutaro Ichise, Josiane Xavier Parreira, Patrik Schneider, Lihua Zhao:
Deploying Spatial-Stream Query Answering in C-ITS Scenarios. EKAW 2018: 386-406 - [c82]Ziwei Xu, Mounira Harzallah, Fabrice Guillet, Ryutaro Ichise:
Towards a Term Clustering Framework for Modular Ontology Learning. IC3K 2018: 178-201 - [c81]Natthawut Kertkeidkachorn, Ryutaro Ichise:
T2KG : A Demonstration of Knowledge Graph Population from Text and Its Challenges. JIST (Workshops & Posters) 2018: 110-113 - [c80]Phuc Nguyen, Khai Nguyen, Ryutaro Ichise, Hideaki Takeda:
EmbNum: Semantic Labeling for Numerical Values with Deep Metric Learning. JIST 2018: 119-135 - [c79]Nicolas Bougie, Ryutaro Ichise:
Abstracting Reinforcement Learning Agents with Prior Knowledge. PRIMA 2018: 431-439 - [c78]Nicolas Bougie, Ryutaro Ichise:
Deep reinforcement learning boosted by external knowledge. SAC 2018: 331-338 - [e2]Ryutaro Ichise, Freddy Lécué, Takahiro Kawamura, Dongyan Zhao, Stephen H. Muggleton, Kouji Kozaki:
Semantic Technology - 8th Joint International Conference, JIST 2018, Awaji, Japan, November 26-28, 2018, Proceedings. Lecture Notes in Computer Science 11341, Springer 2018, ISBN 978-3-030-04283-7 [contents] - [i5]Phuc Nguyen, Khai Nguyen, Ryutaro Ichise, Hideaki Takeda:
EmbNum: Semantic labeling for numerical values with deep metric learning. CoRR abs/1807.01367 (2018) - 2017
- [j20]Lihua Zhao, Ryutaro Ichise, Zheng Liu, Seiichi Mita, Yutaka Sasaki:
Ontology-Based Driving Decision Making: A Feasibility Study at Uncontrolled Intersections. IEICE Trans. Inf. Syst. 100-D(7): 1425-1439 (2017) - [j19]Takuma Ebisu, Ryutaro Ichise:
Triple Prediction from Texts by Using Distributed Representations of Words. IEICE Trans. Inf. Syst. 100-D(12): 3001-3009 (2017) - [j18]Khai Nguyen, Ryutaro Ichise:
Automatic Schema-Independent Linked Data Instance Matching System. Int. J. Semantic Web Inf. Syst. 13(1): 82-103 (2017) - [j17]Khai Nguyen, Ryutaro Ichise:
ScLink: supervised instance matching system for heterogeneous repositories. J. Intell. Inf. Syst. 48(3): 519-551 (2017) - [j16]Masami Hagiya, Kazunori Ueda, Ryutaro Ichise, Ferdinand Peper, Satoshi Murata:
Renewal of the Major Fields. New Gener. Comput. 35(2): 125-128 (2017) - [c77]Natthawut Kertkeidkachorn, Ryutaro Ichise:
T2KG: An End-to-End System for Creating Knowledge Graph from Unstructured Text. AAAI Workshops 2017 - [c76]Ryutaro Ichise:
A Cognitive Architecture Consisting of Human Intelligence Factors. BICA 2017: 165-170 - [c75]Arisa Ema, Hirotaka Osawa, Hiromitsu Hattori, Naonori Akiya, Nobutsugu Kanzaki, Ryutaro Ichise, Minao Kukita, Takushi Otani, Akinori Kubo, Kazunori Komatani, Reina Saijo, Mikihito Tanaka, Koziro Honda, Naoki Miyano, Yoshimi Yashiro, Go Yoshizawa:
Breaking Down Silos: Involving Various Researchers for Driving HCI Research. CHI Extended Abstracts 2017: 837-847 - [c74]Xin Liu, Ryutaro Ichise:
Food Sales Prediction with Meteorological Data - A Case Study of a Japanese Chain Supermarket. DMBD 2017: 93-104 - [c73]Natthawut Kertkeidkachorn, Ryutaro Ichise:
Leveraging Distributed Representations of Elements in Triples for Predicate Linking. HAIS 2017: 75-87 - [c72]Hirotaka Osawa, Arisa Ema, Hiromitsu Hattori, Naonori Akiya, Nobutsugu Kanzaki, Akinori Kubo, Tora Koyama, Ryutaro Ichise:
What is Real Risk and Benefit on Work with Robots?: From the Analysis of a Robot Hotel. HRI (Companion) 2017: 241-242 - [c71]Xiaoyang Gao, Ryutaro Ichise:
Adjusting Word Embeddings by Deep Neural Networks. ICAART (2) 2017: 398-406 - [c70]Christian Giovanelli, Xin Liu, Seppo A. Sierla, Valeriy Vyatkin, Ryutaro Ichise:
Towards an aggregator that exploits big data to bid on frequency containment reserve market. IECON 2017: 7514-7519 - [c69]Piyawat Lertvittayakumjorn, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Resolving Range Violations in DBpedia. JIST 2017: 121-137 - [c68]Lihua Zhao, Rumana Ferdous Munne, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Missing RDF Triples Detection and Correction in Knowledge Graphs. JIST 2017: 164-180 - [c67]Natthawut Kertkeidkachorn, Ryutaro Ichise:
Estimating Distributed Representations of Compound Words Using Recurrent Neural Networks. NLDB 2017: 235-246 - [c66]Hirotaka Osawa, Arisa Ema, Hiromitsu Hattori, Naonori Akiya, Nobutsugu Kanzaki, Akinori Kubo, Tora Koyama, Ryutaro Ichise:
Analysis of robot hotel: Reconstruction of works with robots. RO-MAN 2017: 219-223 - [c65]Khai Nguyen, Ryutaro Ichise:
Enhancing Coreference Classifiers Using a Ranking-Aware Feature. ICSC 2017: 53-56 - [c64]Md-Mizanur Rahoman, Ryutaro Ichise:
Relation-Wise Automatic Domain-Range Information Management for Knowledge Entries. ICSC 2017: 105-108 - [c63]Piyawat Lertvittayakumjorn, Natthawut Kertkeidkachorn, Ryutaro Ichise:
Correcting Range Violation Errors in DBpedia. ISWC (Posters, Demos & Industry Tracks) 2017 - [i4]Takuma Ebisu, Ryutaro Ichise:
TorusE: Knowledge Graph Embedding on a Lie Group. CoRR abs/1711.05435 (2017) - [i3]Nicolas Bougie, Ryutaro Ichise:
Deep Reinforcement Learning Boosted by External Knowledge. CoRR abs/1712.04101 (2017) - 2016
- [j15]Nataliia Pobiedina, Ryutaro Ichise:
Citation count prediction as a link prediction problem. Appl. Intell. 44(2): 252-268 (2016) - [j14]Md-Mizanur Rahoman, Ryutaro Ichise:
Automatic Erroneous Data Detection over Type-Annotated Linked Data. IEICE Trans. Inf. Syst. 99-D(4): 969-978 (2016) - [j13]Khai Nguyen, Ryutaro Ichise:
Linked Data Entity Resolution System Enhanced by Configuration Learning Algorithm. IEICE Trans. Inf. Syst. 99-D(6): 1521-1530 (2016) - [j12]Natthawut Kertkeidkachorn, Ryutaro Ichise:
A Heuristic Expansion Framework for Mapping Instances to Linked Open Data. IEICE Trans. Inf. Syst. 99-D(7): 1786-1795 (2016) - [j11]Arisa Ema, Naonori Akiya, Hirotaka Osawa, Hiromitsu Hattori, Shinya Oie, Ryutaro Ichise, Nobutsugu Kanzaki, Minao Kukita, Reina Saijo, Takushi Otani, Naoki Miyano, Yoshimi Yashiro:
Future Relations between Humans and Artificial Intelligence: A Stakeholder Opinion Survey in Japan. IEEE Technol. Soc. Mag. 35(4): 68-75 (2016) - [c62]Ryutaro Ichise:
An Analysis of the CHC Model for Comparing Cognitive Architectures. BICA 2016: 239-244 - [c61]Md-Mizanur Rahoman, Tetsuya Nasukawa, Hiroshi Kanayama, Ryutaro Ichise:
LiCord: Language Independent Content Word Finder. HAIS 2016: 40-52 - [c60]Takuma Ebisu, Ryutaro Ichise:
Representation of Relations by Planes in Neural Network Language Model. ICONIP (1) 2016: 300-307 - [c59]Lihua Zhao, Ryutaro Ichise, Yutaka Sasaki, Zheng Liu, Tatsuya Yoshikawa:
Fast decision making using ontology-based knowledge base. Intelligent Vehicles Symposium 2016: 173-178 - [c58]Thi-Nhu Nguyen, Hideaki Takeda, Khai Nguyen, Ryutaro Ichise, Tuan-Dung Cao:
Type Prediction for Entities in DBpedia by Aggregating Multilingual Resources. ISWC (Posters & Demos) 2016 - [c57]Khai Nguyen, Ryutaro Ichise:
Ranking Feature for Classifier-based Instance Matching. ISWC (Posters & Demos) 2016 - [c56]Lihua Zhao, Naoya Arakawa, Hiroaki Wagatsuma, Ryutaro Ichise:
An Ontology based Map Converter for Intelligent Vehicles. ISWC (Posters & Demos) 2016 - [e1]Pavel Shvaiko, Jérôme Euzenat, Ernesto Jiménez-Ruiz, Michelle Cheatham, Oktie Hassanzadeh, Ryutaro Ichise:
Proceedings of the 11th International Workshop on Ontology Matching co-located with the 15th International Semantic Web Conference (ISWC 2016), Kobe, Japan, October 18, 2016. CEUR Workshop Proceedings 1766, CEUR-WS.org 2016 [contents] - [i2]Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, Adam Barker:
Integrating Know-How into the Linked Data Cloud. CoRR abs/1604.04506 (2016) - 2015
- [j10]Nagayoshi Yamashita, Masayuki Numao, Ryutaro Ichise:
Predicting Research Trends Identified by Research Histories via Breakthrough Researches. IEICE Trans. Inf. Syst. 98-D(2): 355-362 (2015) - [c55]Lihua Zhao, Ryutaro Ichise, Tatsuya Yoshikawa, Takeshi Naito, Toshiaki Kakinami, Yutaka Sasaki:
Ontology-based decision making on uncontrolled intersections and narrow roads. Intelligent Vehicles Symposium 2015: 83-88 - [c54]Khai Nguyen, Ryutaro Ichise:
Heuristic-Based Configuration Learning for Linked Data Instance Matching. JIST 2015: 56-72 - [c53]Khai Nguyen, Ryutaro Ichise:
ScSLINT: Time and Memory Efficient Interlinking Framework for Linked Data. ISWC (Posters & Demos) 2015 - [c52]Khai Nguyen, Ryutaro Ichise:
A Heuristic Approach for Configuration Learning of Supervised Instance Matching. ISWC (Posters & Demos) 2015 - [c51]Khai Nguyen, Ryutaro Ichise:
An effective configuration learning algorithm for entity resolution. OM 2015: 228-229 - [c50]Lihua Zhao, Ryutaro Ichise, Seiichi Mita, Yutaka Sasaki:
Core Ontologies for Safe Autonomous Driving. ISWC (Posters & Demos) 2015 - [c49]Nataliia Rümmele, Ryutaro Ichise, Hannes Werthner:
Exploring Supervised Methods for Temporal Link Prediction in Heterogeneous Social Networks. WWW (Companion Volume) 2015: 1363-1368 - 2014
- [j9]Md-Mizanur Rahoman, Ryutaro Ichise:
Automatic Inclusion of Semantics over Keyword-Based Linked Data Retrieval. IEICE Trans. Inf. Syst. 97-D(11): 2852-2862 (2014) - [j8]Lihua Zhao, Ryutaro Ichise:
Ontology Integration for Linked Data. J. Data Semant. 3(4): 237-254 (2014) - [c48]Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, Adam Barker:
A Linked Data Approach to Know-How. EKAW (Satellite Events) 2014: 168-171 - [c47]Paolo Pareti, Benoit Testu, Ryutaro Ichise, Ewan Klein, Adam Barker:
Integrating Know-How into the Linked Data Cloud. EKAW 2014: 385-396 - [c46]Danh Bui Thi, Ryutaro Ichise, Bac Le:
Link Prediction in Social Networks Based on Local Weighted Paths. FDSE 2014: 151-163 - [c45]Nataliia Pobiedina, Ryutaro Ichise:
Predicting Citation Counts for Academic Literature Using Graph Pattern Mining. IEA/AIE (2) 2014: 109-119